nn gravity too

Intel Xeon E-2288G testing with a Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS) and NVIDIA Quadro RTX 4000 8GB on Ubuntu 20.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2106185-IB-NNGRAVITY72
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nn gravity tooProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen Resolution123Intel Xeon E-2288G @ 5.00GHz (8 Cores / 16 Threads)Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS)Intel Cannon Lake PCH64GBSamsung SSD 970 EVO Plus 250GBNVIDIA Quadro RTX 4000 8GBIntel Cannon Lake PCH cAVSVE228Intel I219-LM + Intel I210Ubuntu 20.105.8.0-41-generic (x86_64)GNOME Shell 3.38.2X Server 1.20.9NVIDIA 460.32.034.6.0OpenCL 1.2 CUDA 11.2.1091.2.155GCC 10.2.0ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 2.3 Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

123Result OverviewPhoronix Test Suite100%102%103%105%106%Mobile Neural NetworkGravityMarkNCNNTNN

nn gravity toogravitymark: 800 x 600 - OpenGLgravitymark: 800 x 600 - Vulkangravitymark: 1024 x 768 - OpenGLgravitymark: 1024 x 768 - Vulkangravitymark: 1280 x 1024 - OpenGLgravitymark: 1280 x 1024 - Vulkangravitymark: 1920 x 1080 - OpenGLgravitymark: 1920 x 1080 - Vulkanmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mtnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2tnn: CPU - SqueezeNet v1.1123136.2157.9123.3140.3110.1129.298.6114.21.9043.98729.1655.8853.2202.74539.06117.794.934.163.573.916.371.6314.7064.4815.6313.5226.3127.2619.659.313120.889293.18962.971269.273135.3157.4120.7139.1108.2128.893.4107.62.0054.09030.1176.3143.5943.04540.70418.625.044.003.513.826.661.6215.1967.8516.6813.8327.7429.9320.949.733147.923293.47363.426268.105132.7150.3113.7137.4106.4126.491.8106.21.9684.13230.6306.1813.4833.14340.09418.475.053.993.533.866.651.6616.1069.1816.4313.7027.8329.4420.9110.043140.922293.97563.611268.400OpenBenchmarking.org

GravityMark

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 800 x 600 - Renderer: OpenGL123306090120150SE +/- 1.07, N = 3SE +/- 1.05, N = 3SE +/- 0.75, N = 3136.2135.3132.7
OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 800 x 600 - Renderer: OpenGL123306090120150Min: 134.6 / Avg: 136.17 / Max: 138.2Min: 133.6 / Avg: 135.27 / Max: 137.2Min: 131.4 / Avg: 132.73 / Max: 134

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 800 x 600 - Renderer: Vulkan123306090120150SE +/- 0.47, N = 3SE +/- 0.64, N = 3SE +/- 1.91, N = 3157.9157.4150.3
OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 800 x 600 - Renderer: Vulkan123306090120150Min: 157 / Avg: 157.87 / Max: 158.6Min: 156.4 / Avg: 157.43 / Max: 158.6Min: 147.9 / Avg: 150.33 / Max: 154.1

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1024 x 768 - Renderer: OpenGL123306090120150SE +/- 1.77, N = 3SE +/- 2.00, N = 3SE +/- 0.40, N = 3123.3120.7113.7
OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1024 x 768 - Renderer: OpenGL12320406080100Min: 120.4 / Avg: 123.3 / Max: 126.5Min: 117.5 / Avg: 120.73 / Max: 124.4Min: 113 / Avg: 113.7 / Max: 114.4

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1024 x 768 - Renderer: Vulkan123306090120150SE +/- 0.77, N = 3SE +/- 0.35, N = 3SE +/- 0.30, N = 3140.3139.1137.4
OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1024 x 768 - Renderer: Vulkan123306090120150Min: 139.2 / Avg: 140.33 / Max: 141.8Min: 138.5 / Avg: 139.1 / Max: 139.7Min: 137.1 / Avg: 137.4 / Max: 138

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1280 x 1024 - Renderer: OpenGL12320406080100SE +/- 0.49, N = 3SE +/- 0.27, N = 3SE +/- 0.24, N = 3110.1108.2106.4
OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1280 x 1024 - Renderer: OpenGL12320406080100Min: 109.3 / Avg: 110.13 / Max: 111Min: 107.9 / Avg: 108.17 / Max: 108.7Min: 106.1 / Avg: 106.43 / Max: 106.9

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1280 x 1024 - Renderer: Vulkan123306090120150SE +/- 0.15, N = 3SE +/- 0.42, N = 3SE +/- 0.27, N = 3129.2128.8126.4
OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1280 x 1024 - Renderer: Vulkan12320406080100Min: 128.9 / Avg: 129.17 / Max: 129.4Min: 128.2 / Avg: 128.8 / Max: 129.6Min: 126.1 / Avg: 126.37 / Max: 126.9

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1920 x 1080 - Renderer: OpenGL12320406080100SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 398.693.491.8
OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1920 x 1080 - Renderer: OpenGL12320406080100Min: 98.4 / Avg: 98.63 / Max: 98.9Min: 93 / Avg: 93.4 / Max: 93.6Min: 91.6 / Avg: 91.83 / Max: 92

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1920 x 1080 - Renderer: Vulkan123306090120150SE +/- 0.27, N = 3SE +/- 0.32, N = 3SE +/- 0.35, N = 3114.2107.6106.2
OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.1bResolution: 1920 x 1080 - Renderer: Vulkan12320406080100Min: 113.8 / Avg: 114.17 / Max: 114.7Min: 107 / Avg: 107.57 / Max: 108.1Min: 105.6 / Avg: 106.2 / Max: 106.8

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV31230.45110.90221.35331.80442.2555SE +/- 0.036, N = 12SE +/- 0.024, N = 5SE +/- 0.026, N = 31.9042.0051.968MIN: 1.64 / MAX: 60.45MIN: 1.65 / MAX: 17.33MIN: 1.68 / MAX: 3.081. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV3123246810Min: 1.83 / Avg: 1.9 / Max: 2.28Min: 1.96 / Avg: 2 / Max: 2.1Min: 1.94 / Avg: 1.97 / Max: 2.021. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: squeezenetv1.11230.92971.85942.78913.71884.6485SE +/- 0.064, N = 12SE +/- 0.020, N = 5SE +/- 0.039, N = 33.9874.0904.132MIN: 3.52 / MAX: 64.16MIN: 3.37 / MAX: 16.23MIN: 3.52 / MAX: 16.21. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: squeezenetv1.1123246810Min: 3.78 / Avg: 3.99 / Max: 4.61Min: 4.03 / Avg: 4.09 / Max: 4.14Min: 4.06 / Avg: 4.13 / Max: 4.21. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-50123714212835SE +/- 0.28, N = 12SE +/- 0.69, N = 5SE +/- 0.70, N = 329.1730.1230.63MIN: 24.94 / MAX: 173.42MIN: 24.97 / MAX: 132.38MIN: 24.92 / MAX: 190.051. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-50123714212835Min: 26.2 / Avg: 29.16 / Max: 29.87Min: 27.49 / Avg: 30.12 / Max: 31.53Min: 29.23 / Avg: 30.63 / Max: 31.331. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: SqueezeNetV1.0123246810SE +/- 0.065, N = 12SE +/- 0.072, N = 5SE +/- 0.019, N = 35.8856.3146.181MIN: 5.4 / MAX: 62.33MIN: 5.39 / MAX: 18.8MIN: 5.37 / MAX: 35.961. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: SqueezeNetV1.01233691215Min: 5.65 / Avg: 5.88 / Max: 6.42Min: 6.1 / Avg: 6.31 / Max: 6.5Min: 6.14 / Avg: 6.18 / Max: 6.211. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_2241230.80871.61742.42613.23484.0435SE +/- 0.015, N = 12SE +/- 0.073, N = 5SE +/- 0.029, N = 33.2203.5943.483MIN: 2.96 / MAX: 14.31MIN: 2.97 / MAX: 70.94MIN: 2.99 / MAX: 15.891. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_224123246810Min: 3.18 / Avg: 3.22 / Max: 3.34Min: 3.47 / Avg: 3.59 / Max: 3.88Min: 3.43 / Avg: 3.48 / Max: 3.521. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.01230.70721.41442.12162.82883.536SE +/- 0.005, N = 12SE +/- 0.022, N = 5SE +/- 0.097, N = 32.7453.0453.143MIN: 2.61 / MAX: 6.6MIN: 2.63 / MAX: 40.53MIN: 2.6 / MAX: 65.361. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.0123246810Min: 2.72 / Avg: 2.75 / Max: 2.78Min: 2.99 / Avg: 3.04 / Max: 3.12Min: 3.01 / Avg: 3.14 / Max: 3.331. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v3123918273645SE +/- 0.15, N = 12SE +/- 0.25, N = 5SE +/- 0.14, N = 339.0640.7040.09MIN: 37.3 / MAX: 163.69MIN: 36.22 / MAX: 159.23MIN: 37.86 / MAX: 95.031. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v3123816243240Min: 38.3 / Avg: 39.06 / Max: 39.72Min: 40.31 / Avg: 40.7 / Max: 41.65Min: 39.93 / Avg: 40.09 / Max: 40.371. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mobilenet123510152025SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 317.7918.6218.47MIN: 17.41 / MAX: 18.31MIN: 17.39 / MAX: 33.09MIN: 17.35 / MAX: 42.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mobilenet123510152025Min: 17.56 / Avg: 17.79 / Max: 17.98Min: 18.46 / Avg: 18.62 / Max: 18.74Min: 18.38 / Avg: 18.47 / Max: 18.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v2-v2 - Model: mobilenet-v21231.13632.27263.40894.54525.6815SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.13, N = 34.935.045.05MIN: 4.43 / MAX: 8.48MIN: 4.45 / MAX: 7.77MIN: 4.46 / MAX: 13.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v2-v2 - Model: mobilenet-v2123246810Min: 4.78 / Avg: 4.93 / Max: 5.06Min: 4.86 / Avg: 5.04 / Max: 5.36Min: 4.88 / Avg: 5.05 / Max: 5.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v3-v3 - Model: mobilenet-v31230.9361.8722.8083.7444.68SE +/- 0.25, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 34.164.003.99MIN: 3.68 / MAX: 54.3MIN: 3.54 / MAX: 5.25MIN: 3.54 / MAX: 11.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU-v3-v3 - Model: mobilenet-v3123246810Min: 3.9 / Avg: 4.16 / Max: 4.66Min: 3.84 / Avg: 4 / Max: 4.31Min: 3.88 / Avg: 3.99 / Max: 4.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: shufflenet-v21230.80331.60662.40993.21324.0165SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 33.573.513.53MIN: 3.32 / MAX: 4.25MIN: 3.15 / MAX: 4.81MIN: 3.16 / MAX: 6.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: shufflenet-v2123246810Min: 3.54 / Avg: 3.57 / Max: 3.6Min: 3.39 / Avg: 3.51 / Max: 3.71Min: 3.41 / Avg: 3.53 / Max: 3.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mnasnet1230.87981.75962.63943.51924.399SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 33.913.823.86MIN: 3.65 / MAX: 4.27MIN: 3.4 / MAX: 5.01MIN: 3.43 / MAX: 5.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: mnasnet123246810Min: 3.85 / Avg: 3.91 / Max: 3.99Min: 3.69 / Avg: 3.82 / Max: 4.07Min: 3.73 / Avg: 3.86 / Max: 4.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: efficientnet-b0123246810SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 36.376.666.65MIN: 6.15 / MAX: 6.86MIN: 5.88 / MAX: 10.22MIN: 5.87 / MAX: 7.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: efficientnet-b01233691215Min: 6.28 / Avg: 6.37 / Max: 6.48Min: 6.35 / Avg: 6.66 / Max: 6.88Min: 6.38 / Avg: 6.65 / Max: 6.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: blazeface1230.37350.7471.12051.4941.8675SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 31.631.621.66MIN: 1.53 / MAX: 1.88MIN: 1.44 / MAX: 2.18MIN: 1.46 / MAX: 11.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: blazeface123246810Min: 1.61 / Avg: 1.63 / Max: 1.67Min: 1.52 / Avg: 1.62 / Max: 1.67Min: 1.56 / Avg: 1.66 / Max: 1.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: googlenet12348121620SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 1.09, N = 314.7015.1916.10MIN: 14.14 / MAX: 23MIN: 13.48 / MAX: 26.33MIN: 13.82 / MAX: 148.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: googlenet12348121620Min: 14.56 / Avg: 14.7 / Max: 14.92Min: 14.83 / Avg: 15.19 / Max: 15.38Min: 14.74 / Avg: 16.1 / Max: 18.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: vgg161231530456075SE +/- 0.06, N = 3SE +/- 0.36, N = 3SE +/- 1.56, N = 364.4867.8569.18MIN: 64.25 / MAX: 65.85MIN: 66.53 / MAX: 91.9MIN: 66.51 / MAX: 245.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: vgg161231326395265Min: 64.37 / Avg: 64.48 / Max: 64.59Min: 67.23 / Avg: 67.85 / Max: 68.48Min: 67.32 / Avg: 69.18 / Max: 72.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet1812348121620SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 315.6316.6816.43MIN: 15.27 / MAX: 16.32MIN: 16 / MAX: 25.72MIN: 15.36 / MAX: 17.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet1812348121620Min: 15.47 / Avg: 15.63 / Max: 15.94Min: 16.65 / Avg: 16.68 / Max: 16.72Min: 16.1 / Avg: 16.43 / Max: 16.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: alexnet12348121620SE +/- 0.39, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 313.5213.8313.70MIN: 12.8 / MAX: 109.15MIN: 12.92 / MAX: 27.92MIN: 12.92 / MAX: 23.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: alexnet12348121620Min: 13.11 / Avg: 13.52 / Max: 14.3Min: 13.73 / Avg: 13.83 / Max: 13.93Min: 13.43 / Avg: 13.7 / Max: 13.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet50123714212835SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 326.3127.7427.83MIN: 25.61 / MAX: 27.16MIN: 26.51 / MAX: 42.46MIN: 26.66 / MAX: 37.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: resnet50123612182430Min: 26.27 / Avg: 26.31 / Max: 26.34Min: 27.57 / Avg: 27.74 / Max: 27.85Min: 27.8 / Avg: 27.83 / Max: 27.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: yolov4-tiny123714212835SE +/- 0.06, N = 3SE +/- 0.84, N = 3SE +/- 0.96, N = 327.2629.9329.44MIN: 26.99 / MAX: 29.89MIN: 27.64 / MAX: 158.01MIN: 27.58 / MAX: 149.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: yolov4-tiny123714212835Min: 27.13 / Avg: 27.26 / Max: 27.32Min: 29.06 / Avg: 29.93 / Max: 31.61Min: 28.39 / Avg: 29.44 / Max: 31.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: squeezenet_ssd123510152025SE +/- 0.06, N = 3SE +/- 0.27, N = 3SE +/- 0.23, N = 319.6520.9420.91MIN: 19.3 / MAX: 20.1MIN: 19.59 / MAX: 104.32MIN: 19.51 / MAX: 28.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: squeezenet_ssd123510152025Min: 19.56 / Avg: 19.65 / Max: 19.77Min: 20.53 / Avg: 20.94 / Max: 21.45Min: 20.54 / Avg: 20.91 / Max: 21.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: regnety_400m1233691215SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.35, N = 39.319.7310.04MIN: 9.08 / MAX: 9.84MIN: 8.67 / MAX: 12.44MIN: 8.68 / MAX: 74.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210525Target: CPU - Model: regnety_400m1233691215Min: 9.24 / Avg: 9.31 / Max: 9.43Min: 9.29 / Avg: 9.73 / Max: 10.04Min: 9.47 / Avg: 10.04 / Max: 10.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet1237001400210028003500SE +/- 8.70, N = 3SE +/- 13.56, N = 3SE +/- 24.54, N = 33120.893147.923140.92MIN: 3039.95 / MAX: 3494.45MIN: 3048 / MAX: 3606.13MIN: 3041.73 / MAX: 3462.91. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet1235001000150020002500Min: 3111.16 / Avg: 3120.89 / Max: 3138.25Min: 3125.11 / Avg: 3147.92 / Max: 3172.04Min: 3097.1 / Avg: 3140.92 / Max: 3181.961. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v212360120180240300SE +/- 1.90, N = 3SE +/- 0.28, N = 3SE +/- 1.34, N = 3293.19293.47293.98MIN: 288.6 / MAX: 381.12MIN: 289.28 / MAX: 346.47MIN: 290.22 / MAX: 384.551. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v212350100150200250Min: 290.01 / Avg: 293.19 / Max: 296.57Min: 293 / Avg: 293.47 / Max: 293.97Min: 291.83 / Avg: 293.97 / Max: 296.451. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v21231428425670SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.48, N = 362.9763.4363.61MIN: 62.31 / MAX: 64.38MIN: 62.48 / MAX: 69.72MIN: 62.55 / MAX: 72.621. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v21231224364860Min: 62.68 / Avg: 62.97 / Max: 63.23Min: 63.35 / Avg: 63.43 / Max: 63.52Min: 62.76 / Avg: 63.61 / Max: 64.431. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.112360120180240300SE +/- 0.30, N = 3SE +/- 0.21, N = 3SE +/- 0.32, N = 3269.27268.11268.40MIN: 266.86 / MAX: 289.03MIN: 267.39 / MAX: 270.38MIN: 267.63 / MAX: 288.891. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.112350100150200250Min: 268.72 / Avg: 269.27 / Max: 269.76Min: 267.69 / Avg: 268.1 / Max: 268.36Min: 267.97 / Avg: 268.4 / Max: 269.021. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl